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Best Flux NSFW checkpoints for local generation (2026)

You've got 12+ GB VRAM and you want a Flux checkpoint that doesn't fight you on adult content. There are three credible options on Civitai right now - Fluxed Up, Persephone, and UltraReal Fine-Tune. Each makes different tradeoffs in style bias, licensing, and update frequency.

This page helps you pick the right one for your situation. Not the one with the most downloads - the one that matches your subject matter, your VRAM, and whether you need commercial rights. I'll tell you what each checkpoint is actually good at, where it breaks, and how to evaluate any new upload that appears next month.

The Models

The default Flux NSFW checkpoint. Strongest bias, most versions, most community workflows. Start here for pure NSFW work.

Architecture: Flux.1 · VRAM: 12 GB+ · Best for: Dedicated NSFW Flux generation

Open on Civitai →

One model for both clean and adult work. Balanced bias means less fighting in SFW prompts.

Architecture: Flux.1 · VRAM: 12 GB+ · Best for: Dual-purpose NSFW + SFW

Open on Civitai →

Best photorealism of the three. Known hand issues, slower generation (50 steps), but unmatched face quality.

Architecture: Flux.1 · VRAM: 12 GB+ · Best for: Photoreal skin and faces

Open on Civitai →

The Quick Answer

Key Takeaway - May 2026

  • Fluxed Up (model 847101): Best for dedicated NSFW work. Strongest nude bias, most versions, most community testing. 12 GB+ VRAM for fp16.
  • Persephone (model 1775002): Best if you need one checkpoint for both SFW client work and private NSFW projects. Balanced bias.
  • UltraReal Fine-Tune (model 978314): Best for photoreal skin push. Active development, known hand issues, great for faces.

All three carry Flux.1 non-commercial upstream terms. Read the license before client work.


Why checkpoint choice matters more than LoRAs

A LoRA is a small steering correction. A checkpoint is the entire foundation - lighting priors, skin shading, anatomy defaults, pose habits. If your images look fundamentally wrong, no LoRA stack will fix it. Pick the right base first, then fine-tune with adapters.

Flux checkpoints are also large (22+ GB for fp16) and demand 12–16 GB VRAM. You can't casually swap between them mid-session like SDXL models. Pick one, learn it, and build your LoRA library on top.


The three options (ranked)

1. Fluxed Up

Architecture VRAM Best For
Flux.1 12 GB+ (fp16) / 8 GB (GGUF) Dedicated NSFW generation

The default Flux NSFW checkpoint. Latest version is 10.2 (BF16, 22.17 GB). The creator ships frequent updates with lighting and anatomy improvements. Multiple quantized variants (Q8, Q4 GGUF) for lower VRAM cards.

What's good: Strong nude bias means less LoRA needed. Active community, lots of posted workflows. Version pinning available for reproducibility.

What's not: Heavy female-presenting bias. Male anatomy needs extra LoRA work. Fast version churn means your workflows break when you update. Non-commercial license.

Recommended sampler: DPM++ 2M with Beta scheduler. CFG: follow creator notes per version.

Civitai: civitai.com/models/847101


2. Persephone

Architecture VRAM Best For
Flux.1 12 GB+ (fp16) / 8 GB (GGUF) Dual-purpose NSFW + SFW

One checkpoint, two modes. Version 2.0 (fp16, 22.17 GB). Designed to handle both clean client work and private NSFW generation without switching models. 234 reviews, 5-star average.

What's good: Balanced bias means you're not constantly fighting unwanted nudity in SFW prompts. Good general quality for faces and lighting.

What's not: Less aggressively NSFW than Fluxed Up - you'll need LoRAs for explicit content that Fluxed Up handles natively. Fewer versions available, slower update cadence.

Recommended sampler: DPM++ 2M with Beta scheduler.

Civitai: civitai.com/models/1775002


3. UltraReal Fine-Tune

Architecture VRAM Best For
Flux.1 12 GB+ Photoreal skin and faces

The photorealism pusher. Version 4 (latest). Trained specifically for realistic skin texture, age diversity, and improved Asian feature handling. 2,976 reviews.

What's good: Best skin micro-detail of the three. Good age range diversity. Strong face generation. Works well as a base for stylized LoRAs.

What's not: Hand generation is still a known issue (creator acknowledges this). Requires CFG 3 and 50 steps for stability - slower than the others. The "abliterated" experimental sibling (model 1288623) exists but treat it as unstable.

Civitai: civitai.com/models/978314


Quick comparison

Checkpoint NSFW Bias Photoreal Update Speed VRAM (fp16) License
Fluxed Up 10.2 Strong Good Weekly 12 GB+ Non-commercial
Persephone 2.0 Moderate Good Monthly 12 GB+ Non-commercial
UltraReal v4 Moderate Best Quarterly 12 GB+ Non-commercial

VRAM planning

All three are 22+ GB files in fp16/bf16. Your GPU needs:

  • 12 GB: Minimum for comfortable single-image Flux at standard resolutions. You'll fit the model plus basic sampling.
  • 16 GB: Comfortable for dual text encoders, ControlNet, and refiner passes without OOM anxiety.
  • 8 GB: Quantized GGUF variants only. Works for Fluxed Up and Persephone (both offer GGUF). Expect softer detail.

Don't forget: Flux pipelines need separate VAE and text encoder files. Budget disk space for those too.


How to evaluate new uploads

New Flux NSFW checkpoints appear on Civitai constantly. Here's the advisor's checklist:

  1. Does it state a clear base model? If you can't tell what it's derived from, skip it.
  2. Are there 50+ reviews? Below that, you're guinea-pigging.
  3. Does the creator document settings? Sampler, CFG, steps, resolution. If not, they're not serious.
  4. Is there a version changelog? You want a creator who iterates openly, not one who silently overwrites files.
  5. License stated clearly? If you have to dig, assume non-commercial until proven otherwise.

Setup path (any of the three)

  1. Download your chosen checkpoint from Civitai. Note the version number.
  2. Download the VAE and text encoder files listed in Dependencies on the version page.
  3. Install ComfyUI (for graph control) or Forge (for speed). LocalForge AI works if you want zero-friction Flux setup.
  4. Wire model, VAE, and encoders per the creator's instructions.
  5. Generate a 10-seed test grid with the creator's recommended settings before changing anything.

Who should use what

  • Pick Fluxed Up if your work is primarily NSFW and you want the strongest default bias with the most community support.
  • Pick Persephone if you switch between SFW client work and private NSFW - one checkpoint, no swapping.
  • Pick UltraReal if photorealistic skin and faces are your priority and you'll tolerate slower generation (50 steps, CFG 3).
  • Stay on SDXL if you don't have 12 GB VRAM. Flux isn't practical on 8 GB without significant quality tradeoffs.

Bottom line

Fluxed Up is the workhorse for dedicated NSFW Flux work. Persephone is the do-it-all for mixed workflows. UltraReal is the specialist for photoreal faces. All three carry non-commercial licenses. Pick based on your actual use case, not download counts, and freeze the version you trust before building LoRA libraries on top.

What to Do Next

FAQ

Which Flux NSFW checkpoint should I download first? +
Fluxed Up if you're doing dedicated NSFW work. Persephone if you need SFW and NSFW from one model. UltraReal if photorealistic skin matters most.
How much VRAM do I need for Flux checkpoints? +
12 GB minimum for fp16 at standard resolutions. 16 GB for comfortable use with ControlNet and refiners. 8 GB only with quantized GGUF variants.
Can I use these commercially? +
All three carry Flux.1 non-commercial upstream terms from Black Forest Labs. Read the specific license on each version page before any client work.
Flux or SDXL for NSFW? +
Flux produces better anatomy and lighting but needs 12 GB+ VRAM and larger files. SDXL runs on 8 GB cards with more model variety. Pick based on your GPU, not hype.